Technical practice
How would you prioritize competing AI use cases for a business process?
What to coverThe role calls for evaluating and prioritizing use cases that deliver measurable value. Suggested preparation: compare the business problem, expected process improvement, data readiness, feasibility and how value would be measured.
How would you decide whether an LLM is appropriate for a proposed use case?
What to coverLLM proficiency is a required skill, but not every problem needs an LLM. Suggested preparation: explain the task, why an LLM would or would not help, and how you would test whether its outputs are useful enough for the process.
What data requirements would you establish before designing an AI solution?
What to coverThe role explicitly involves identifying underlying data requirements. Suggested preparation: address whether relevant data exists, its quality and suitability for the use case, and what gaps would change the proposed design.
How would you choose frameworks and tools for an LLM-based solution?
What to coverThe posting asks for a strong understanding of AI frameworks and tools without naming a required stack. Suggested preparation: describe how you would compare options against the use case, available technology, implementation effort and evaluation needs rather than assume a particular product.
How would you use prompt engineering to improve an LLM use case?
What to coverPrompt Engineering is listed as a good-to-have skill. Suggested preparation: explain how you would define the task and output, test prompt changes against representative examples, and weigh improvements against added complexity.
How would you simplify a business process while introducing AI?
What to coverThe role emphasizes simplifying and enhancing processes, not just adding AI to them. Suggested preparation: identify the current steps and bottlenecks, specify where AI would change the workflow, and explain how you would check that the change creates value.
How would you interpret data to inform an AI strategy?
What to coverThe posting explicitly calls for data analysis and interpretation to inform AI strategies. Suggested preparation: explain how you would distinguish a meaningful pattern from an unsupported assumption and use the findings to recommend or reconsider a use case.
How would you evaluate an AI solution before recommending wider use?
What to coverThe role focuses on practical solutions and measurable value outcomes. Suggested preparation: define success measures tied to the business problem, compare results with the existing process, and discuss trade-offs revealed by testing.
How would you monitor an implemented AI solution and decide what to improve?
What to coverMonitoring effectiveness and continuous improvement are stated responsibilities. Suggested preparation: describe what outcomes and user feedback you would review over time, how you would investigate a decline, and when you would revise the solution.
What would you consider when moving a successful AI use case toward broader adoption?
What to coverThe role aims to foster scaled AI adoption across the organization. Suggested preparation: discuss whether the use case remains valuable in other teams or processes, what data and technology dependencies must be addressed, and how results would be assessed as adoption expands.
Behavioural practice
Tell me about a workshop you facilitated to develop a solution.
What to coverFacilitating workshops and brainstorming sessions is a stated responsibility. Suggested preparation: use a real situation/action/result example covering differing ideas, how you guided the group, and what decision or next step resulted.
Describe a time you explained a complex AI concept to non-technical stakeholders.
What to coverThe posting explicitly calls for this communication skill. Suggested preparation: use a real situation/action/result example showing how you adapted the explanation, checked understanding, and helped stakeholders make a decision.
Tell me about a time you improved a team's performance.
What to coverThe role expects collaboration and management of team performance. Suggested preparation: give a real situation/action/result example that identifies the performance issue, your actions with the team, and the observable outcome.
Describe a difficult decision you made with consequences for your team.
What to coverThe role states responsibility for team decisions. Suggested preparation: use a real situation/action/result example explaining the options, how you made and communicated the decision, and what you learned from the result.
Tell me about a problem you resolved across multiple teams.
What to coverThe posting calls for contributing to key decisions and solving problems beyond the immediate team. Suggested preparation: use a real situation/action/result example covering the teams' differing needs, how you coordinated a solution, and its outcome.